Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images

From LRDE

Abstract

We present a programming framework for discrete mathematical morphology centered on the concept of genericity. We show that formal definitions of morphological algorithms can be translated into actual code, usable on virtually any kind of compatible imagesprovided a general definition of the concept of image is given. This work is implemented in Milena, a genericefficient, and user-friendly image processing library.

Documents

Bibtex (lrde.bib)

@InProceedings{	  levillain.09.ismm,
  author	= {Roland Levillain and Thierry G\'eraud and Laurent Najman},
  title		= {{Milena}: Write Generic Morphological Algorithms Once, Run
		  on Many Kinds of Images},
  booktitle	= {Mathematical Morphology and Its Application to Signal and
		  Image Processing -- Proceedings of the Ninth International
		  Symposium on Mathematical Morphology (ISMM)},
  pages		= {295--306},
  year		= 2009,
  editor	= {Michael H. F. Wilkinson and Jos B. T. M. Roerdink},
  series	= {Lecture Notes in Computer Science},
  address	= {Groningen, The Netherlands},
  month		= aug,
  publisher	= {Springer Berlin / Heidelberg},
  volume	= 5720,
  abstract	= {We present a programming framework for discrete
		  mathematical morphology centered on the concept of
		  genericity. We show that formal definitions of
		  morphological algorithms can be translated into actual
		  code, usable on virtually any kind of compatible images,
		  provided a general definition of the concept of image is
		  given. This work is implemented in Milena, a generic,
		  efficient, and user-friendly image processing library.},
  keywords	= {mathematical morphology, image processing operator,
		  genericity, programming}
}